Triple

T1311292
Position Surface form Disambiguated ID Type / Status
Subject Metra Union Pacific West Line E27995 entity
Predicate lineNumber P1864 FINISHED
Object UP-W
UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
 E150215 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UP-W | Statement: [Metra Union Pacific West Line, lineNumber, UP-W]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UP-W
Context triple: [Metra Union Pacific West Line, lineNumber, UP-W]
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. Up
    Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
  • E. UPY
    UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UP-W
Triple: [Metra Union Pacific West Line, lineNumber, UP-W]
Generated description
UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UP-W
Target entity description: UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. Up
    Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
  • E. UPY
    UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1560f888190bdd9107b08395e0b completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaec736881909645919764d73f5f completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbbe67f0881908796ae064e72571d completed March 7, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69acbc8c3cc88190a0764b8d306b40ab completed March 8, 2026, 12:02 a.m.
Created at: March 1, 2026, 7:51 p.m.